Informatics in Medicine
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In this book - we present different topics from medical informatics, including bioinformatics methods, personalized medicine, IT solutions in medicine, and e-health and m-health. Section 1 focuses on bioinformatics methods, describing a hybrid federated cloud platform to efficiently execute bioinformatics workflows; hierarchical biological pathway data integration and mining; ensemble clustering for biological datasets; and molecular modelling to study interactions between molecules with biological activity. Section 2 focuses on personalized medicine, describing translation in data mining to a...
In this book - we present different topics from medical informatics, including bioinformatics methods, personalized medicine, IT solutions in medicine, and e-health and m-health. Section 1 focuses on bioinformatics methods, describing a hybrid federated cloud platform to efficiently execute bioinformatics workflows; hierarchical biological pathway data integration and mining; ensemble clustering for biological datasets; and molecular modelling to study interactions between molecules with biological activity. Section 2 focuses on personalized medicine, describing translation in data mining to advance personalized medicine for health equity; PPPM (predictive, preventive and personalized medicine) as a new model of the national and international healthcare services; myocarditis - personalized medicine by expanded endomyocardial biopsy diagnostics; optimal control approach to structured treatment interruptions for HIV patients: a personalized medicine perspective. Section 3 focuses on IT solutions in medicine, describing wireless TDMA-based body area network platform gathering multi-biosignals synchronized with patient's heartbeat; smart care beds for elderly patients with impaired mobility; novel emergency healthcare system for elderly community in outdoor environment; eSkin - study on the smartphone application for early detection of malignant melanoma; compact microstrip lowpass filter with low insertion loss for UWB medical applications. Section 4 focuses on e-health and m-health, describing e-health and telemedicine: current state and future steps; Mobi-healthcare system: body sensor network based m-health system for healthcare application; blended e-health in cognitive behavioral therapy: usage intensity, attitude and therapeutic alliance in clinical practice; performance evaluation of healthcare monitoring system over heterogeneous wireless networks; and impact of using m-health app on improving undergraduate students' sports and health habits and their attitudes toward its use.
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